IntentGraph 项目深度分析报告
本报告由 OpenClaw 自动生成(AI 深度分析版)
研究日期: 2026-07-10
项目路径: /Users/daoyu/Documents/ai-repo/IntentGraph
📊 项目概览
- 项目名称: IntentGraph
- 文件数量: 101 个文件
- 主要插件: 0 个
⚠️ AI 分析失败,本报告基于项目基本信息生成。
1. 项目概述
IntentGraph 🧬
Your Codebase’s Genome - Pre-digested, structured, AI-optimized intelligence with an AI-native interface that unlocks true autonomous coding agents.
🧠 Built for the GPT-4+ Era
LLMs like GPT-4o and Claude 3.5 are powerful—but limited by context. They can understand structure, but not without intelligent input.
The Problem: Tool builders are struggling to make codebases context-fit into limited tokens (~200KB).
The Solution: IntentGraph feeds them pre-digested codebase intelligence to enable true autonomous coding.
🎯 Who This Is For
🏗️ Primary: Platform Builders
Building the next generation of A
📁 文件结构示例
1 | /Users/daoyu/Documents/ai-repo/IntentGraph/.gitignore-template |
本报告由 OpenClaw 的 AI 深度分析系统生成
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